DocumentCode
506947
Title
A Large Knowledge Base Partitioning and Reasoning Study Based on Graph Theory
Author
Rui, He ; Chunmei, Lin
Author_Institution
Coll. of Environ. & Resource Sci., Zhejiang Univ., Hangzhou, China
Volume
3
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
203
Lastpage
207
Abstract
In this paper, we present a method for solving the partitioning problem of complex knowledge bases. This proposed method utilizes the feature of fuzzy cognitive map (FCM) to construct partitioning rules, the partition algorithm based on strongly connected of directed graph helps to partition a fuzzy cognitive map into a series of sub-FCM. Further, we discuss the inference among sub-FCM. Finally, an illustrative example is provided, and its results suggest that the method is capable of partitioning and reasoning large knowledge bases.
Keywords
directed graphs; fuzzy set theory; inference mechanisms; knowledge based systems; directed graph; fuzzy cognitive map; graph theory; knowledge base partitioning; knowledge base reasoning; Art; Cognition; Educational institutions; Fuzzy cognitive maps; Fuzzy systems; Graph theory; Helium; Inference algorithms; Knowledge acquisition; Partitioning algorithms; fuzzy cognitive map; graph theory; knowledge base; partition;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.443
Filename
5358939
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